MATH 114 CALCULUS INTRODUCTION
LIMITS AND CONTINUITY ASSESSMENT
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◉ Inferential Statistics
Answer: Involves methods of using information from a sample to
draw conclusions regarding the population
◉ Simple Random Sampling
Answer: Of n measurements from a population is a subset of the
population selected in such a manner that every sample size n from
the population has an equal change of being selected
◉ Random Sampling
Answer: Use a simple random sample from the entire population
◉ Stratified Sampling
Answer: Divide the entire population into subgroups called strata.
The strata are based on specific characteristics such as age, income,
education, eat. Draw random samples from each strata
◉ Systematic Sampling
, Answer: Number all members of the population sequentially then,
from a starting point selected at random, include every nth member
of the population in the sample
◉ Cluster Sampling
Answer: Divide the entire population into preexisting segments of
clusters. The clusters are often geographic. Make a random selection
of clusters. Include every member of each selected cluster in the
sample
◉ Multistage Sampling
Answer: Use a variety of sampling methods to create successively
smaller groups at each stage. The final sample consists of clusters
◉ Convince Sampling
Answer: Create a sample by using data from population members
that are readily available
◉ Sampling Frame
Answer: List of individuals from which a sample is actually selected
◉ Under Coverage
Answer: Results from omitting population members from the
sample frame
LIMITS AND CONTINUITY ASSESSMENT
SCRIPT 2026
◉ Inferential Statistics
Answer: Involves methods of using information from a sample to
draw conclusions regarding the population
◉ Simple Random Sampling
Answer: Of n measurements from a population is a subset of the
population selected in such a manner that every sample size n from
the population has an equal change of being selected
◉ Random Sampling
Answer: Use a simple random sample from the entire population
◉ Stratified Sampling
Answer: Divide the entire population into subgroups called strata.
The strata are based on specific characteristics such as age, income,
education, eat. Draw random samples from each strata
◉ Systematic Sampling
, Answer: Number all members of the population sequentially then,
from a starting point selected at random, include every nth member
of the population in the sample
◉ Cluster Sampling
Answer: Divide the entire population into preexisting segments of
clusters. The clusters are often geographic. Make a random selection
of clusters. Include every member of each selected cluster in the
sample
◉ Multistage Sampling
Answer: Use a variety of sampling methods to create successively
smaller groups at each stage. The final sample consists of clusters
◉ Convince Sampling
Answer: Create a sample by using data from population members
that are readily available
◉ Sampling Frame
Answer: List of individuals from which a sample is actually selected
◉ Under Coverage
Answer: Results from omitting population members from the
sample frame